About Improzo
At
Improzo
(
Improve + Zoe; meaning Life in Greek), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you!People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do.
We CARE
!
- Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action.
- Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities.
- Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility.
- Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences.
About The Role
We are seeking a highly skilled
Data and Reporting Developer (Improzo Level - Associate)
to join our dynamic team. As a Big Data Developer, you will be responsible for designing, developing, and maintaining large-scale data processing systems using big data technologies. This is an exciting opportunity for a talented individual with a strong technical background and a passion for working with large datasets to deliver high-quality solutions.
Key Responsibilities
- Big Data Application Development:
- Design, develop, and maintain scalable data pipelines and big data applications.
- Work with distributed processing frameworks (e.g., Apache Hadoop, Apache Spark) to process and analyze large datasets.
- Write optimized and high-performance code to handle data ingestion, processing, and analysis in real-time or batch processing environments.
- Data Architecture:
- Collaborate with data architects and other stakeholders to design and implement data storage solutions using HDFS, NoSQL databases (e.g., Cassandra, HBase, MongoDB), and cloud data platforms (e.g., AWS, Azure, Google Cloud).
- Develop and maintain ETL pipelines for data extraction, transformation, and loading (ETL) using ETL tools or Databricks
- Work with data lakes and data warehousing solutions for large-scale data storage and processing.
- Data Integration:
- Integrate various data sources into the big data ecosystem (e.g., data from relational databases, APIs, third-party tools, IoT devices).
- Ensure seamless data flow between systems while maintaining data quality and integrity.
- Reporting Development:
- Design and Build reports on tools like Power BI, Tableau, Microstrategy
- Design basic UI / UX as per client needs
- Performance Optimization:
- Optimize big data workflows and queries to ensure high performance and scalability.
- Implement data partitioning, indexing, and other techniques to handle large datasets efficiently.
- Collaboration and Communication:
- Collaborate with cross-functional teams (data scientists, analysts, engineers, etc.) to understand business requirements and deliver data solutions that meet those needs.
- Communicate complex technical concepts and data insights clearly to non-technical stakeholders.
- Testing and Quality Assurance:
- Perform unit testing and troubleshooting of data pipelines to ensure data consistency and integrity.
- Implement data validation and error-checking mechanisms to maintain high-quality data.
- Documentation:
- Maintain clear documentation of data pipelines, architecture, and workflows for ease of understanding, modification, and scaling.
- Agile Methodology:
- Participate in agile development processes, including sprint planning, daily stand-ups, and code reviews.
- Innovation and Research:
- Stay up-to-date with the latest trends and advancements in big data technologies and techniques.
- Continuously evaluate new tools, frameworks, and technologies to improve performance and capabilities.
Qualifications
- Bachelor’s or master’s degree in a quantitative field such as computer science, statistics or mathematics.
- 1.5+ years of experience on data management or reporting projects involving big data technologies
- Hands on experience or thorough training on technologies like AWS, Azure, GCP, Databricks, Spark.
- Experience in a Pharma Commercial setting or Pharma data management will be an added advantage
- General proficiency in programming languages such Python; experience with data management (SQL, MDM, etc.) and visualization tools like Tableau, PowerBI, etc.
- Excellent communication, presentation, and interpersonal skills.
- Attention to details, biased for quality and client centricity.
- Ability to work independently and as part of a cross-functional team.
Benefits
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge tech projects, transforming the life sciences industry
- Collaborative and supportive work environment.
- Opportunities for professional development and growth.
Skills: microstrategy,mongodb,aws,tableau,google cloud,sql,etl tools,databricks,cassandra,nosql databases,nosql database,apache spark,azure,python,distributed processing frameworks,big data application development,hbase,hdfs,mdm,power bi,apache hadoop
